Tendertec offers Hestia®, a privacy‑first AI care platform that uses wall‑mounted thermal‑pattern sensors to continuously monitor rooms for falls, agitation, wandering and other risk indicators without cameras, microphones, or wearables. The system provides real‑time alerts and analytics through a staff app and API integration, enabling care homes, hospitals and home‑care providers to intervene earlier and allocate staff more efficiently.
Funding
$563.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1ODBFounders
Product
Problem
Care teams often miss early signs of risk such as falls, agitation, or changes in daily routines, leading to delayed interventions, unnecessary hospital visits, and increased workload. Existing monitoring solutions rely on cameras, wearables, or extensive hardware, which raise privacy concerns and are costly to install and maintain.
Solution
Tendertec’s Hestia® platform provides a privacy‑first, AI‑driven care infrastructure that continuously monitors thermal patterns in a room to detect falls, near‑falls, agitation, wandering, and deviations from normal activity. By using non‑identifiable heat data, the system delivers early risk alerts without cameras, microphones, or wearable devices, preserving dignity for residents. The plug‑and‑play wall‑mounted sensors install in under 30 minutes and connect via Wi‑Fi, feeding encrypted data to a cloud service where proprietary AI models generate actionable insights for staff. These insights are presented through a user‑friendly app and can be integrated into existing care workflows via API, enabling proactive support and more efficient allocation of existing staff resources.
Target Audience
Primary customers are care homes, residential care facilities, hospitals, and home‑care providers that need dignified, continuous monitoring for vulnerable adults and elderly residents.
Features
- Thermal‑pattern sensors that capture movement and temperature changes without recording visual or audio data
- AI models trained on real‑world data to identify falls, near‑falls, agitation, and routine deviations in cluttered, multi‑occupancy rooms
- Continuous, 24/7 monitoring with automatic incident reconstruction aligned with care quality standards
- Encrypted data transmission and local‑server processing to ensure GDPR compliance and full privacy
- Plug‑and‑play installation: wall‑mounted sensor, mains power, Wi‑Fi (or optional 4G) with no hard‑wiring required
- Staff app and centralized dashboard delivering real‑time alerts, pattern analytics, and shift handover reports
- API integration for seamless connection to existing electronic health record or care management systems